Data | Model | Normalization | None | Z-standard | Min-Max | MaxAbs (−1, 1) | Quantile Transform | Quantile Normalize |
Categorical - Poisson Target | Poisson Regression | Type of Loss | MSE | MSE | MSE | MSE | MSE | MSE |
Total Loss | 1.753 | 1.748 | 1.753 | 1.753 | 1.753 | 1.753 | ||
Bias | 1.682 | 1.673 | 1.682 | 1.682 | 1.682 | 1.682 | ||
Variance | 0.071 | 0.074 | 0.071 | 0.071 | 0.071 | 0.071 | ||
Noise | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
Variance-Bias Ratio | 0.042 | 0.044 | 0.042 | 0.042 | 0.042 | 0.042 | ||
Percent Change from Raw | ~ | 99.698 | 100.000 | 100.000 | 100.000 | 100.000 | ||
Decision Tree | ||||||||
Total Loss | 1.559 | 1.591 | 1.499 | 1.499 | 1.499 | 1.499 | ||
Bias | 1.351 | 1.435 | 1.314 | 1.314 | 1.314 | 1.314 | ||
Variance | 0.208 | 0.157 | 0.185 | 0.185 | 0.185 | 0.185 | ||
Noise | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
Variance-Bias Ratio | 0.154 | 0.109 | 0.141 | 0.141 | 0.141 | 0.141 | ||
Percent Change from Raw | ~ | 102.089 | 96.164 | 96.164 | 96.164 | 96.164 | ||
Random Forest | Total Loss | 1.581 | 1.661 | 1.581 | 1.581 | 1.581 | 1.581 | |
Bias | 1.434 | 1.559 | 1.434 | 1.434 | 1.434 | 1.434 |